Literature DB >> 26889613

Differing Psychologically Derived Clusters in People With Chronic Low Back Pain are Associated With Different Multidimensional Profiles.

Martin Rabey1, Anne Smith, Darren Beales, Helen Slater, Peter O'Sullivan.   

Abstract

OBJECTIVES: To explore the existence of subgroups in a cohort with chronic low back pain (n=294) based upon data from multiple psychological questionnaires, and profile subgroups on data from multiple dimensions.
METHODS: Psychological questionnaires considered as indicator variables entered into latent class analysis included: Depression, Anxiety, Stress scales, Thought Suppression and Behavioural Endurance subscales (Avoidance Endurance questionnaire), Chronic Pain Acceptance Questionnaire (short-form), Pain Catastrophising Scale, Pain Self-Efficacy Questionnaire, and Fear-Avoidance Beliefs Questionnaire. Multidimensional profiling of derived clusters included: demographics, pain characteristics, pain responses to movement, behaviors associated with pain, body perception, pain sensitivity, and health and lifestyle factors.
RESULTS: Three clusters were derived. Cluster 1 (23.5%) was characterized by low Cognitive and Affective Questionnaire scores, with the exception of fear-avoidance beliefs. Cluster 2 (58.8%) was characterized by relatively elevated thought suppression, catastrophizing, and fear-avoidance beliefs, but lower pain self-efficacy, depression, anxiety, and stress. Cluster 3 (17.7%) had the highest scores across cognitive and affective questionnaires.Cluster 1 reported significantly lower pain intensity and bothersomeness than other clusters. Disability, stressful life events, and low back region perceptual distortion increased progressively from cluster 1 to cluster 3, whereas mindfulness progressively decreased. Clusters 2 and 3 had more people with an increase in pain following repeated forward and backward spinal bending, and more people with increasing pain following bending, than cluster 1. Cluster 3 had significantly greater lumbar pressure pain sensitivity, more undiagnosed comorbid symptoms, and more widespread pain than other clusters. DISCUSSION: Clinical implications relating to presentations of each cluster are postulated.

Entities:  

Mesh:

Year:  2016        PMID: 26889613     DOI: 10.1097/AJP.0000000000000363

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  14 in total

1.  Clinical classes of injured workers with chronic low back pain: a latent class analysis with relationship to working status.

Authors:  Lisa C Carlesso; Y Raja Rampersaud; Aileen M Davis
Journal:  Eur Spine J       Date:  2017-01-31       Impact factor: 3.134

2.  Are Psychologic Factors Associated With Shoulder Scores After Rotator Cuff Surgery?

Authors:  Alison M Thorpe; Peter B O'Sullivan; Tim Mitchell; Mark Hurworth; Jonathan Spencer; Grant Booth; Sven Goebel; Paul Khoo; Aaron Tay; Anne Smith
Journal:  Clin Orthop Relat Res       Date:  2018-10       Impact factor: 4.176

3.  Experimental Pain Phenotype Profiles in Community-dwelling Older Adults.

Authors:  Abigail T Wilson; Alisa J Johnson; Chavier Laffitte Nodarse; Lorraine Hoyos; Paige Lysne; Julio A Peraza; Soamy Montesino-Goicolea; Pedro A Valdes-Hernandez; Jessie Somerville; Joel E Bialosky; Yenisel Cruz-Almeida
Journal:  Clin J Pain       Date:  2022-07-01       Impact factor: 3.423

4.  Personal resource profiles of individuals with chronic pain: Sociodemographic and pain interference differences.

Authors:  Chung Jung Mun; Mary C Davis; Ivan R Molton; Paul Karoly; Hye Won Suk; Dawn M Ehde; Howard Tennen; Robert D Kerns; Mark P Jensen
Journal:  Rehabil Psychol       Date:  2019-01-28

5.  Exploring pain phenotypes in workers with chronic low back pain: Application of IMMPACT recommendations.

Authors:  Lisa C Carlesso; Yannick Tousignant-Laflamme; William Shaw; Christian Larivière; Manon Choinière
Journal:  Can J Pain       Date:  2021-03-03

6.  A picture is worth a thousand words: linking fibromyalgia pain widespreadness from digital pain drawings with pain catastrophizing and brain cross-network connectivity.

Authors:  Dan-Mikael Ellingsen; Florian Beissner; Tawfik Moher Alsady; Asimina Lazaridou; Myrella Paschali; Michael Berry; Laura Isaro; Arvina Grahl; Jeungchan Lee; Ajay D Wasan; Robert R Edwards; Vitaly Napadow
Journal:  Pain       Date:  2021-05-01       Impact factor: 7.926

7.  Phenotypic profile clustering pragmatically identifies diagnostically and mechanistically informative subgroups of chronic pain patients.

Authors:  Sheila M Gaynor; Andrey Bortsov; Eric Bair; Roger B Fillingim; Joel D Greenspan; Richard Ohrbach; Luda Diatchenko; Andrea Nackley; Inna E Tchivileva; William Whitehead; Aurelio A Alonso; Thomas E Buchheit; Richard L Boortz-Marx; Wolfgang Liedtke; Jongbae J Park; William Maixner; Shad B Smith
Journal:  Pain       Date:  2021-05-01       Impact factor: 7.926

8.  Rehabilitation management of low back pain - it's time to pull it all together!

Authors:  Yannick Tousignant-Laflamme; Marc Olivier Martel; Anand B Joshi; Chad E Cook
Journal:  J Pain Res       Date:  2017-10-03       Impact factor: 3.133

9.  Sufficient explanation of management affects patient satisfaction and the practice of post-treatment management in spinal pain, a multicenter study of 1007 patients.

Authors:  Jae Yun Kim; Jae Hang Shim; Sung Jun Hong; Jong Yeun Yang; Hey Ran Choi; Yun Hee Lim; Ho Sik Moon; Jaemoon Lee; Jae Hun Kim
Journal:  Korean J Pain       Date:  2017-03-31

10.  Composite psychosocial risk based on the fear avoidance model in patients undergoing anterior cruciate ligament reconstruction: Cluster-based analysis.

Authors:  Rogelio A Coronado; Jordan A Bley; Laura J Huston; Jacquelyn S Pennings; Hiral Master; Emily K Reinke; Mackenzie L Bird; Erica A Scaramuzza; Christine M Haug; Shannon L Mathis; Susan W Vanston; Charles L Cox; Kurt P Spindler; Kristin R Archer
Journal:  Phys Ther Sport       Date:  2021-06-02       Impact factor: 2.920

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.